O Supercomputador Santos Dumont (SDumont) atende hoje cerca de 170 projetos de pesquisa pertencentes a 18 áreas de conhecimento, liderados por instituições de pesquisa de 12 estados brasileiros. A escola tem como objetivo prover à comunidade de usuários do SDumont e à comunidade de programação em computação de alto desempenho em geral, minicursos relacionados com programação em computadores de alto desempenho tais como modelos de programação paralela, ferramentas de perfilagem e bibliotecas para o desenvolvimento de algoritmos paralelos otimizados.
Short bio: Possui Bacharelado em Matemática pela Faculdade de Humanidades Pedro II (1992), com Pós-Graduação em Gestão da Inovação pelo LNCC/UCP. É tecnologista sênior do Laboratório Nacional de Computação Científica, onde iniciou a carreira em 1985 nesta instituição, como programador-analista e posteriormente como analista de suporte em sistemas de alto desempenho. Atualmente é o Coordenador de Tecnologia da Informação do LNCC. Coordenou o Ponto de Presença da RNP (PoP-RJ) no Rio de Janeiro de 2011 até 2018. Foi o gestor técnico do projeto de aquisição e implantação do Supercomputador Santos Dumont em 2015 e de sua expansão em 2019. É o responsável pelas plataformas de computação do LNCC, incluindo o supercomputador Santos Dumont. Desde 2017 atua como vice-diretor do LNCC. Atuou como professor do Instituto Superior de Tecnologia da Informação de Petrópolis, IST até o ano de 2008 e da Escola Superior de Redes da RNP nas áreas de Segurança da Informação e Sistemas Operacionais até ano de 2017.
O uso de FPGAs para computação de alto desempenhoShort bio: Alfredo Goldman holds a PhD from INPG, Grenoble. Currently, he is an associate professor at USP. Subject area editor of Parallel Computing. He was co-program chair of SEMISH and the LATAM School on Software ENgineering in 2022. He was the track chair of EuroPar 2017 and 2021, IEEE SCC 2020, and CARLA 2022. He will be co-program chair for workshops on SC23. His main research interests are parallel and distributed computing, scheduling, and agile methods. He is on the board of governors of the Brazilian Computer Society and a member of ACM and IEEE-CS.
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Transforming Science and Engineering Research Through An Innovative High Performance AI+HPC Ecosystem at PSCThe Pittsburgh Supercomputing Center (PSC) offers an innovative computational ecosystem to enable AI-enabled research, bringing together carefully designed systems and groundbreaking technologies to provide, at no cost, a uniquely capable ecosystem to the research community. The specialized ecosystem includes two major systems: Neocortex and Bridges-2. Neocortex embodies a revolutionary processor architecture to vastly shorten the time required for deep learning training, foster greater integration of artificial deep learning with scientific workflows, and accelerate graph analytics. Bridges-2 integrates additional scalable AI, high-performance computing (HPC), and high-performance parallel file systems for simulation, data pre- and post-processing, visualization, and Big Data as a Service. Neocortex and Bridges-2 are integrated to form a tightly coupled and highly flexible ecosystem for AI- and data-driven research. We will cover a detailed description of the AI+HPC ecosystem at PSC, share experiences in deploying and managing the systems, and highlight a set of representative scientific research projects that are leveraging this advanced cyberinfrastructure.
Short bio: Paola A. Buitrago is the founding Director of the Artificial Intelligence and Big Data group at the Pittsburgh Supercomputing Center (PSC) which is a joint effort of Carnegie Mellon University and the University of Pittsburgh in Pittsburgh, Pennsylvania, United States. The AI and Big Data group is focused on advancing and supporting the convergence of High-Performance Computing (HPC), Artificial Intelligence (AI) and Big Data. Paola is the principal investigator (PI) of NSF-funded ($12.5M) Neocortex, a specialized supercomputer that is designed to revolutionize national AI-enabled research by incorporating specialized AI-hardware (Cerebras CS-1). Paola is also PI for Open Compass, a platform for AI research on emerging hardware and software technologies, enabling the development of advanced algorithms and modeling approaches, and co-PI for Bridges-2 ($25M), a large heterogeneous and multipurpose supercomputer at PSC. Paola’s diverse background includes research in deep learning, large scale data, and workflow management for high energy physics experiments at the Fermi National Accelerator Laboratory. Paola’s academic background includes undergraduate studies in Chemical Engineering and Systems and Computing Engineering and graduate studies in Machine Learning at Carnegie Mellon University.
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Deucalion: Thinking beyond speedShort bio: Rui Oliveira is Associate Professor with habilitation at the Department of Informatics of University of Minho, member of the board of INESC TEC, director of the Minho Advanced Computing Centre and member of the board of the EuroHPC Joint Undertaking. He obtained a PhD degree in Computer Science from the École Polytechnique Fédèrale de Lausanne in 2000. His main research contributions and interests have been in the fields of scalable and dependable middleware, and on exascale data management and processing to support environmental digital twins.
He coordinated and participated in tens of European and national research and innovation projects and counts over 100 research papers on large scale and dependable distributed systems. He has served on the programme committee of several highly reputed conferences, was general chair of IEEE SRDS and ACM Eurosys and chaired the programme committee of IFIP DAIS and IEEE SRDS.